docstr: Parameters
  ----------
  columns : list of str
     'open', 'high', 'low', 'close', or 'volume'
  start_date: Timestamp
     Beginning of the window range.
  end_date: Timestamp
     End of the window range.
  assets : list of int
     The asset identifiers in the window.
  
  Returns
  -------
  list of np.ndarray
      A list with an entry per field of ndarrays with shape
      (minutes in range, sids) with a dtype of float64, containing the
      values for the respective field over start and end dt range.
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code: def load_raw_arrays(self, columns, start_date, end_date, assets):
      """
      Parameters
      ----------
      columns : list of str
         'open', 'high', 'low', 'close', or 'volume'
      start_date: Timestamp
         Beginning of the window range.
      end_date: Timestamp
         End of the window range.
      assets : list of int
         The asset identifiers in the window.
  
      Returns
      -------
      list of np.ndarray
          A list with an entry per field of ndarrays with shape
          (minutes in range, sids) with a dtype of float64, containing the
          values for the respective field over start and end dt range.
      """
      pass
  
file_path: zipline/zipline/data/bar_reader.py
imports: from abc import ABCMeta, abstractmethod, abstractproperty
  from six import with_metaclass
label_desc: Use image node_id 2 for calling the BarReader obj's underlying member method code with example usage: obj.load_raw_arrays(columns, start_date, end_date, assets) without return types